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Article

Turn Big Data into Big Value

This paper describes three usage models that can help you implement a flexible and efficient big data infrastructure to realize competitive advantages in your own business.

Criado por Dan Fineberg (Intel) Última atualização em 06/07/2019 - 16:30
Article

Configuration and Deployment Guide for the Cassandra NoSQL Data Store on Intel Architecture

This Configuration and Deployment Guide explores one of the leading Not Only Structured Query

Criado por Dan Fineberg (Intel) Última atualização em 06/07/2019 - 16:30
Article

Use All Your Data to Compete and Win

This solution brief summarizes the content of the technical white paper called, "

Criado por Dan Fineberg (Intel) Última atualização em 06/07/2019 - 16:30
Article

Optimizing Hadoop Deployments

This paper provides guidance, based on extensive lab testing conducted at Intel, to help IT organizations plan an optimized infrastructure for deploying Apache Hadoop*.  It includes:

Criado por Dan Fineberg (Intel) Última atualização em 06/07/2019 - 16:30
Mensagem de blog

Optimizing Big Data processing with Haswell 256-bit Integer SIMD instructions

Big Data requires processing huge amounts of data. Intel Advanced Vector Extensions 2 (aka AVX2) promoted most Intel AVX 128-bits integer SIMD instruction sets to 256-bits.

Criado por gaston-hillar (Blackbelt) Última atualização em 06/07/2019 - 17:00
Mensagem de blog

Experimenting with OpenStack* Sahara* on Docker* Containers

Docker* is an emerging technology that has become very popular recently in the market. It provides a flexible architecture to deploy applications. OpenStack* is another hot technology on the market. It has been available for several years, became more stable and also added more features support in recent releases.
Criado por WEITING C. (Intel) Última atualização em 06/07/2019 - 17:10
Article

Intel® Xeon® Processor E7 v3 Product Family

Criado por Nguyen, Khang T (Intel) Última atualização em 06/07/2019 - 16:40
Article

What is Intel® DAAL?

The Intel® Data Analytics Acceleration Library (Intel® DAAL) is the library of Intel® Architecture optimized building blocks covering all data analytics stages: data acquisition from a data source, preprocessing, transformation, data mining, modeling, validation, and decision making. To achieve best performance on a range of Intel® processors, Intel DAAL uses optimized algorithms from the Intel®...
Criado por Vipin Kumar E K (Intel) Última atualização em 08/10/2018 - 06:30
Article

A Walk-Through of Distributed Processing Using Intel® DAAL

Intel® Data Analytics Acceleration Library (Intel® DAAL) is a new highly optimized library targeting data mining, statistical analysis, and machine learning applications. It provides advanced building blocks supporting all data analysis stages (preprocessing, transformation, analysis, modeling, decision making) for offline, streaming and distributed analytics usages. Intel DAAL support...
Criado por Ying H. (Intel) Última atualização em 04/10/2018 - 04:16
Article

A Tutorial on the C++ API of Intel® Data Analytics Acceleration Library

Intel® DAAL is a part of Intel® Parallel Studio XE 2016, a developer toolkit for HPC and technical computing applications. Intel® DAAL is a powerful library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms. In this tutorial, we will see how to build and run Intel® DAAL C++ examples included in the package.
Criado por Zhang, Zhang (Intel) Última atualização em 06/07/2019 - 10:53